Accurate arterial pressure monitoring is critical in cardiac surgery to guide haemodynamic management and vasopressor therapy. Radial arterial pressure monitoring may systematically underestimate central aortic pressure compared with femoral monitoring, potentially leading to inappropriate vasopressor escalation and associated complications. Recent evidence demonstrates that excessive norepinephrine exposure is associated with acute kidney injury and increased mortality in cardiac surgery patients.

To determine whether femoral arterial pressure monitoring reduces norepinephrine use compared with radial monitoring in cardiac surgery patients.

This is a prospective, randomised, controlled, single-blind, superiority trial conducted at two French university hospitals (CHU Besancon and CHU Dijon). Adult patients undergoing cardiac surgery with cardiopulmonary bypass will be randomised 1:1 to receive either femoral or radial arterial pressure monitoring. The primary endpoint is the proportion of patients treated with norepinephrine from anaesthetic induction to postoperative day 7. Secondary endpoints include acute kidney injury according to KDIGO criteria, cardiac complications, vasoactive-inotropic scores, duration of vasopressor therapy, vascular complications, and 7-day and 30-day mortality. Sample size calculation indicates 340 patients (170 per group) are needed to detect a 15% absolute reduction in norepinephrine use with 90% power and α=0.05, and an anticipated loss to follow-up rate of 5%.

The study has been approved by the French Ethics Committee (Comité de Protection des Personnes Nord-Ouest II, no. 2024/897) and will be conducted according to the Declaration of Helsinki and Good Clinical Practice guidelines. Results will be submitted for publication in peer-reviewed journals and presented at international conferences.

NCT06952907.

Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it across all geographic locations and pre-pregnancy body mass index (BMI) categories. The WHO is undertaking a project to develop GWG charts by pre-pregnancy BMI category, and to identify GWG ranges associated with the lowest risks of adverse maternal and infant outcomes. This protocol describes all the steps that will be used to accomplish the development of these GWG charts.

This project will involve the analysis of individual participant data (researcher-collected or administrative). To identify eligible datasets with GWG data, a literature review will be conducted and a global call for data will be launched by the WHO. Eligible individual datasets obtained from multiple sources will be harmonised into a pooled database. The database will undergo steps of cleaning, data quality assessment and application of individual-level inclusion criteria. Heterogeneity of maternal weight and GWG will be assessed to verify the possibility of combining datasets from multiple sources and regions into a single database. Generalized Additive Models for Location, Scale and Shape will be applied for the construction of the centile curves. Diagnostic measures, internal and external validation procedures will also be performed.

This project will include an analysis of existing study de-identified data. To be included in the pooled database, each included study should have received ethics approvals from relevant committees. Manuscripts will be submitted to open-access journals and a WHO document will be published, including the GWG charts and cut-offs for application in antenatal care.

Studies have demonstrated the positive impact of falls prevention interventions for high-risk older adults who have experienced a severe fall. However, uptake and adherence rates remain low. The purpose of this study is to assess the capabilities, opportunities and motivations of older adults following a fall with subsequent presentation to the emergency department and direct discharge home in relation to falls prevention measures.

This study, conducted as part of the ‘Sentinel fall presenting to the emergency department’ project at the Carl von Ossietzky University Oldenburg in Germany, involved a participatory research team (PRT). It was a qualitative study based on focus group interviews undertaken between June and October 2022, analysed in accordance with qualitative content analysis following Kuckartz. The Theoretical Domains Framework forms the basis of the deductive category system. PRT members collaborated as co-researchers in conducting and analysing the focus groups.

12 focus groups were conducted (N=52). The participants were older adults (≥60 years) who had received outpatient care in an emergency department following a fall (N=41) and their relatives (N=11).

Interviewees indicated that both knowledge of available support options and the ability to self-evaluate are important following a fall. Additionally, health circumstances, such as limitations resulting from fall-related consequences, influence the adoption of falls prevention measures. Social influences, as well as environmental context and resources, were also discussed, reflecting participants’ preferences for intervention design, such as having a central point of contact and specific courses on fall training. Moreover, the fall event itself may strengthen the perceived need for preventive measures, whereas a fear of falling can lead to reduced or modified activity levels.

To improve the engagement of older adults in falls prevention interventions following a fall, the establishment of a central point of contact could be considered. Individual tailored interventions, including psychological support as well as specific fall training, are needed.

DRKS00025949.

To determine the prevalence of internet addiction and examine its association with psychological factors specifically depression, anxiety and loneliness among Malaysian public university students.

Cross-sectional study.

All public universities in Malaysia, 20 universities.

The study included 7278 students from 20 public universities in Malaysia.

Statistical analyses were performed usingSTATA V.17 software. Descriptive statistics summarised participants’ demographic characteristics, prevalence of internet addiction and psychological distress (depression, anxiety and loneliness). Pearson’s correlation was used to assess bivariate relationships between internet addiction and psychological variables, while multiple logistic regression identified independent factors associated with internet addiction after adjusting for significant confounders.

The study found that 38.6% of the students showed signs of internet addiction, along with a high level of psychological distress; 24.8% had depressive symptoms, 32.4% experienced anxiety and 35.5% reported loneliness. Moderate positive correlations were observed between internet addiction and depression, anxiety and loneliness (p

The findings indicate significant associations between internet addiction and psychological factors such as depression, anxiety and loneliness. A comprehensive, multifaceted approach is essential to address psychological distress among university students and reduce the risk of internet addiction.

To evaluate the effectiveness of the recommendation improvement matrix (RIM) methodology for improving the quality of recommendations resulting from sentinel event analysis, where we hypothesise that the use of the RIM methodology leads to better quality recommendations.

A before-and-after analysis of the quality of the formulated recommendations after sentinel event analysis.

The study was carried out during the 2023 Saudi Patient Safety Centre International Patient Safety Conference.

36 conference participants, including nurses, medical doctors, pharmacists, dentists, general practitioners and quality officers.

RIM methodology training during a structured 3-hour workshop.

The primary outcome was the proportion of recommendations that using the ² test, passed the RIM filter criteria before and after training. Secondary outcomes included changes in recommendation categorisation within the matrix and participant ratings of feasibility and usability on a five-point Likert scale using a t-test for comparison.

Prior to training, 49 recommendations were generated, of which 63.3% met the filter criteria. Post-training, the proportion of recommendations passing the filter increased significantly to 83% (p=0.00543). Adjustments to recommendations primarily improved alignment with the filter criteria, though limited improvements were observed in matrix categorisation. Participants rated the methodology’s feasibility and usability highly, with average scores of 4.39/5 and 4.43/5, respectively. However, 46% expressed a need for additional training, particularly on the matrix application.

The RIM methodology significantly improves the quality of recommendations following sentinel event analyses. To enhance its impact, further training focusing on matrix application is necessary. Incorporating the methodology into healthcare education and professional development could strengthen patient safety practices.

Cognitive impairments, such as dementia and Alzheimer’s disease, are considered a significant public health challenge as they affect mental functions like memory, attention, language and decision-making. With the growing number of older individuals, the prevalence of these diseases is also increasing and is projected to reach 152 million worldwide by 2050. These disorders result in difficulties with judgement, communication and daily activities, leading to more hospitalisations and risks such as disorientation in the environment and a higher likelihood of falls. Current hospital safety assessment tools mainly focus on physical aspects and overlook other crucial factors. Therefore, this study aims to clarify the concept of safety challenges for patients with cognitive impairment and to develop and psychometrically validate a multidimensional instrument for use in hospital settings.

A sequential exploratory study with mixed methods will be conducted. In the first qualitative phase, based on a content analysis approach, the aim is to explain and clarify safety issues in patients with cognitive impairment. Participants will be purposively selected until saturation is reached in educational-therapeutic centres affiliated with the University of Medical Sciences, and unstructured in-depth interviews will be conducted. The data will be analysed simultaneously using MAXQDA V.20 software. Additionally, a literature review on safety issues in patients with cognitive impairment will be conducted to supplement aspects that may not have emerged in the interviews.

In the second phase, an instrument based on the inductive–deductive method will be developed. The items will be created based on the participants’ experiences and the literature review. Face, content and construct validity, as well as reliability, will be assessed. Data synthesis will involve a linkage strategy, where the qualitative data will be linked to the quantitative data immediately after the completion of the qualitative phase, once the protocols are developed.

This study is part of a postdoctoral project approved by the Tehran University of Medical Sciences Research Ethics Board (IR.TUMS.FNM.REC.1403.006). Findings will be disseminated at the local, national and international levels.

Intermittent physiological monitoring and early warning scores (EWS) are limited in their ability to detect deteriorating patients in a timely manner. Wearable physiological sensors allow continuous remote monitoring and may be more timely and accurate in the identification of those at risk, compared with manual collection. This study aims to determine if wearable physiological sensors can be used for the early detection of postoperative deterioration, while being acceptable to patients and healthcare staff.

This is a prospective observational cohort study that will recruit adults undergoing major surgery in Benin, India, Ghana, Guatemala, Mexico, Nigeria, Rwanda and the UK. Participants will wear wearable physiological chest and limb sensors before, during and after surgery for up to 10 days or until discharge. In this ‘shadow-mode’ study, continuous physiological observations collected using the devices will not be made available to clinical teams. No changes in participant care will result. Standard of care clinical data will be collected contemporaneously. Continuous sensor data will be used to design algorithms to predict deterioration and specific complications in this population. Usability and feasibility testing, through focus groups, interviews and questionnaires, will be undertaken with healthcare professionals and people undergoing surgery.

Our stakeholder panel are directly involved in all aspects of this study, which will be conducted in accordance with the principles of the International Conference on Harmonisation Tripartite Guideline for Good Clinical Practice (ICH GCP) in addition to the principles of the ethics committee(s)/Institutional Review Boards (IRBs) who have reviewed and approved this study. Artificial intelligence (AI) prediction models will be reported in accordance with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis+Artificial Intelligence (TRIPOD+AI) and Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI) reporting guidelines frameworks.

NCT06565559.

Cancer remains a major public health concern worldwide. Patient navigation, developed in the 1990s to address disparities in cancer outcomes, aims to guide patients through the complex healthcare system and improve access to timely, quality care. Despite its proven benefits, little is known about the implementation or impact of patient navigation programmes in African settings.

This scoping review aims to map the current evidence on components, procedures, outcomes and impact, as well as barriers and challenges to implementation of patient navigation programmes in cancer care across Africa.

This scoping review will follow Arksey and O’Malley’s scoping review framework, as further developed by Levac et al. A systematic search will be conducted across PubMed, African Journals Online and Google Scholar to identify relevant studies published from database inception to the date of the final search, using a combination of relevant keywords and MeSH terms. Eligible studies must be reported in English, have been carried out in Africa, involved patients diagnosed with cancer or navigating the cancer care continuum, and report on the description, implementation or evaluation of patient navigation programmes. Screening will be managed with Rayyan and carried out through a two-stage process: screening by titles and abstracts, then by full-text screening based on the prespecified inclusion and exclusion criteria. Data will be extracted into a structured Excel spreadsheet and synthesised using qualitative content analysis to identify programme characteristics, outcomes, barriers and implementation challenges.

This scoping review does not require ethical approval. Our findings will be published in a peer-reviewed, open-access journal on completion.

The COVID-19 pandemic led to major disruptions in society across many spheres, including healthcare, the economy and social behaviours. While early predictions warned of an increased risk of suicide during and after the COVID-19 pandemic, rates of suicide deaths remained stable or decreased over that period for most countries. In contrast, the prevalence of suicidal ideation doubled and suicide attempts slightly increased during the COVID-19 pandemic in the adult general population worldwide, accompanied by a higher prevalence of major depressive disorder and anxiety disorders. While these data can tell us what happened, they cannot tell us why. Qualitative suicide research seeks to understand experiences of individuals with suicide-related thoughts and behaviours, provides an in-depth exploration of their lives and interactions with others and centres their views and unique context. There is little qualitative research focusing on suicidality during the pandemic. This study will use a qualitative approach to explore the extent and impact of the COVID-19 pandemic on Canadians who experienced suicidality and review their experiences of accessing mental healthcare to identify key components in supporting safety and recovery.

This study will involve approximately 100 semistructured interviews with participants across four Canadian provinces and will explore experiences with suicide-related thoughts and behaviours during the COVID-19 pandemic. Transcripts will be analysed through qualitative analysis informed by constructivist grounded theory.

The study was approved by the Research Ethics Board of the Centre for Addiction and Mental Health, Toronto Academic Health Sciences Network (for JZ: CAMH REB No 104-2022). In addition to traditional peer-reviewed presentations and publications, a report will make study findings accessible to policy makers, media and the public.